Citation

Anaam, Elham Abdulwahab and Haw, Su Cheng and Ng, Kok Why and Palanichamy, Naveen and Jayaram, Jayapradha (2025) Applying fuzzy algorithm for new hybrid recommendation system in cybersecurity. In: 4th International Conference on Computer, Information Technology and Intelligent Computing, CITIC 2024, 23 July 2024 - 25 July 2024, Virtual, Online.

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Abstract

Since its inception, recommender systems have play a crucial role in our daily activities. This paper elaborates on the critical role played by recommender systems in cybersecurity. The first part of the paper reviews various types of recommender systems, which outlines their strengths and weaknesses to assess possible implementations and related security issues. This include the basic knowledge on the variety of paradigms recommender systems possess and their varying characteristics. It is hoped that this comprehensive analysis will shed some light on the crossover between cybersecurity resources recommending systems technology and digital security: its prospective merits, as well as some key issues linked with its implementation towards protecting cybersecurity domain. Hybrid features were crucial in increasing both effectiveness and efficiency within a recommender system framework. In addition, through establishing a user model, it allowed for creating a stronger neighbour transitivity relationship within the framework. Consequently, these approaches reduced most data sparsity problems while depicting user preferences comprehensively and accurately; thus enhancing overall performance and reliability for any given recommender system

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Knowledge, review
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Nor Afiqah Mohd Adnan
Date Deposited:	09 Dec 2025 03:41
Last Modified:	09 Dec 2025 03:41
URII:	http://shdl.mmu.edu.my/id/eprint/14977

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